Renato Máximo Sátiro

ORCID: 0000-0003-0174-0601 · 1 paper in corpus

article 2025

Uncovering Symptom-Lesion Associations Through Machine Learning

Journal of Minimally Invasive Gynecology ·doi:10.1016/j.jmig.2025.08.005

OBJECTIVE: to evaluate the association between symptoms and the site of endometriosis lesions using machine learning analysis. DESIGN: retrospective study. SETTING: Two tertiary hospitals. PARTICIPANTS: A total of 726 patients undergoing…